Dataset Information

Psychological support of esophageal cancer patient?

ABSTRACT: Important questions are still open about psychological aspects in esophageal cancer (EC) and about the related psychological support. How to cope with the cancer diagnosis and poor prognosis: a psychological counselling may be a valid option to personalize the communication to patients with a poor prognosis. How to cope with long chemoradiotherapy: after neoadjuvant therapy, patients know that curative process is not completed, and they perceive the severity of the neoadjuvant side effects, considering themselves "fragile" and far from a healthy condition before the major surgery they are going to undergo. Therefore, this is a particularly crucial point when psychological support may be useful. How to cope with change of nutritional habits: esophagectomy for cancer strongly impairs nutritional function in the early postoperative period and feeding Jejunostomy impairs emotional function. How to cope with sleep disturbances: most cancer patients report disturbed sleep after cancer diagnosis and/or following cancer treatment. Psychological intervention aims to identify underlying concerns worsening sleep quality. How to cope with postoperative complications: the occurrence of such complications reduces patient's satisfaction and has a negative effect on doctor-patient relationship. How to cope with long-term functions impairment: EC patients need a plan for the future.

SUBMITTER: Pinto E

PROVIDER: S-EPMC6503274 | biostudies-literature | 2019 Apr

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Psychological support of esophageal cancer patient?

Pinto Eleonora E Cavallin Francesco F Scarpa Marco M

Journal of thoracic disease 20190401 Suppl 5

Important questions are still open about psychological aspects in esophageal cancer (EC) and about the related psychological support. How to cope with the cancer diagnosis and poor prognosis: a psychological counselling may be a valid option to personalize the communication to patients with a poor prognosis. How to cope with long chemoradiotherapy: after neoadjuvant therapy, patients know that curative process is not completed, and they perceive the severity of the neoadjuvant side effects, cons ...[more]

PMID: 31080642

Similar Datasets

Project description:BackgroundEsophagectomy for esophageal cancer is associated with a substantial risk of life-threatening complications and a limited long-term survival. This study aimed to clarify the controversial questions of how age influences short-term and long-term survival.MethodsThis population-based cohort study included almost all patients who underwent curatively intended esophagectomy for esophageal cancer in Sweden in 1987-2010, with follow-up through 2016. The exposure was age, analyzed both as a continuous and categorical variable. The probability of mortality was computed using a novel flexible parametric model approach. The reported probabilities are proper measures of the risk of dying, and the related odds ratios (OR) are therefore more suitable measures of association than hazard ratios. The outcomes were 90-day all-cause mortality, 5-year all-cause mortality, and 5-year disease-specific mortality. A novel flexible parametric model was used to derive the instantaneous probability of dying and the related OR along with 95% confidence intervals (CIs), adjusted for sex, education, comorbidity, tumor histology, pathological tumor stage, and resection margin status.ResultsAmong 1737 included patients, the median age was 65.6 years. When analyzed as a continuous variable, older age was associated with slightly higher odds of 90-day all-cause mortality (OR 1.05, 95% CI 1.02-1.07), 5-year all-cause mortality (OR 1.02, 95% CI 1.01-1.03), and 5-year disease-specific mortality (OR 1.01, 95% CI 1.01-1.02). Compared with patients aged < 70 years, those aged 70-74 years had no increased risk of any mortality outcome, while patients aged ≥ 75 years had higher odds of 90-day mortality (OR 2.85, 95% CI 1.68-4.84), 5-year all-cause mortality (OR 1.56, 95% CI 1.27-1.92), and 5-year disease-specific mortality (OR 1.38, 95% CI 1.09-1.76).ConclusionsPatient age 75 years or older at esophagectomy for esophageal cancer appears to be an independent risk factor for higher short-term mortality and lower long-term survival.

Project description:BACKGROUND:Online Cancer Support Groups (OCSG) are becoming an increasingly vital source of information, experiences and empowerment for patients with cancer. Despite significant contributions to physical, psychological and emotional wellbeing of patients, OCSG are yet to be formally recognised and used in multidisciplinary cancer support programs. This study highlights the opportunity of using Artificial Intelligence (AI) in OCSG to address psychological morbidity, with supporting empirical evidence from prostate cancer (PCa) patients. METHODS:A validated framework of AI techniques and Natural Language Processing (NLP) methods, was used to investigate PCa patient activities based on conversations in ten international OCSG (18,496 patients- 277,805 conversations). The specific focus was on activities that indicate psychological morbidity; the reasons for joining OCSG, deep emotions and the variation from joining through to milestones in the cancer trajectory. Comparative analyses were conducted using t-tests, One-way ANOVA and Tukey-Kramer post-hoc analysis. FINDINGS:PCa patients joined OCSG at four key phases of psychological distress; diagnosis, treatment, side-effects, and recurrence, the majority group was 'treatment' (61.72%). The four groups varied in expression of the intense emotional burden of cancer. The 'side-effects' group expressed increased negative emotions during the first month compared to other groups (p<0.01). A comparison of pre-treatment vs post-treatment emotions showed that joining pre-treatment had significantly lower negative emotions after 12-months compared to post-treatment (p<0.05). Long-term deep emotion analysis reveals that all groups except 'recurrence' improved in emotional wellbeing. CONCLUSION:This is the first empirical study of psychological morbidity and deep emotions expressed by men with a new diagnosis of cancer, using AI. PCa patients joining pre-treatment had improved emotions, and long-term participation in OCSG led to an increase in emotional wellbeing, indicating a decrease in psychological distress. It is opportune to further investigate AI in OCSG for early psychological intervention as an adjunct to conventional intervention programs.

Project description:BackgroundA key barrier to controlling esophageal adenocarcinoma (EAC) is identifying those most likely to benefit from screening and surveillance. We aimed to develop an online educational tool, termed IC-RISC™, for providers and patients to estimate more precisely their absolute risk of developing EAC, interpret this estimate in the context of risk of dying from other causes, and aid in decision-making.ResultsU.S. incidence and mortality data and published relative risk estimates from observational studies and clinical trials were used to calculate absolute risk of EAC over 10 years adjusting for competing risks. These input parameters varied depending on presence of the key precursor, Barrett's esophagus. The open source application works across common devices to gather risk factor data and graphically illustrate estimated risk on a single page. Changes to input data are immediately reflected in the colored graphs. We used the calculator to compare the risk distribution between EAC cases and controls from six population-based studies to gain insight into the discrimination metrics of current practice guidelines for screening, observing that current guidelines sacrifice a significant amount of specificity to identify 78-86% of eventual cases in the US population.ConclusionsThis educational tool provides a simple and rapid means to graphically communicate risk of EAC in the context of other health risks, facilitates "what-if" scenarios regarding potential preventative actions, and can inform discussions regarding screening, surveillance and treatment options. Its generic architecture lends itself to being easily extended to other cancers with distinct pathways and/or intermediate stages, such as hepatocellular cancer. IC-RISC™ extends current qualitative clinical practice guidelines into a quantitative assessment, which brings the possibility of preventative actions being offered to persons not currently targeted for screening and, conversely, reducing unnecessary procedures in those at low risk. Prospective validation and application to existing well-characterized cohort studies are needed.

Dataset Information

Psychological support of esophageal cancer patient?

Publications

Psychological support of esophageal cancer patient?

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets